Triple

T6731327
Position Surface form Disambiguated ID Type / Status
Subject Nengone language E153639 entity
Predicate hasGlottologName P6521 FINISHED
Object Nengone E195386 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Nengone | Statement: [Nengone language, hasGlottologName, Nengone]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nengone
Context triple: [Nengone language, hasGlottologName, Nengone]
  • A. Nengone chosen
    Nengone is an Austronesian language spoken primarily by the indigenous Kanak people on Maré Island in New Caledonia.
  • B. Naden
    Naden is a principal naval base area within Canadian Forces Base Esquimalt that serves as a key hub for Royal Canadian Navy operations and administration on the Pacific coast.
  • C. Beni
    Beni is a town in western Nepal that serves as a gateway to the Dhaulagiri and Annapurna mountain regions.
  • D. Beni
    Beni is a sparsely populated, largely Amazonian department in northeastern Bolivia known for its tropical lowlands, cattle ranching, and rich indigenous cultures.
  • E. Beni
    Beni is a city in the eastern Democratic Republic of the Congo that became internationally known as a major hotspot of conflict and public health crises, including serving as the epicenter of the 2018–2020 Kivu Ebola epidemic.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69c6880bdd68819097de8b6099992682 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d16a30888190ae474d90bb71ac49 completed March 27, 2026, 6:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69c71a6e21788190b91b2102ddd62aa0 completed March 28, 2026, 12:01 a.m.
Created at: March 27, 2026, 2:09 p.m.